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20232026
most citedModeling the Cosmic Dispersion Measure in the D < 120 Mpc Local Universe

7 citations · 15 across the 13 of their papers we have counts for

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Showing astro-ph.GAShow all

6 papers · 1 filter

astro-ph.GA2026

A Decade to Map the Diffuse Universe: FRB-QSO Pairs with HST/COS Spectroscopy

Jessica Werk, Matthew McQuinn, J. Xavier Prochaska +16

Jointly analyzing the sightlines of arcsecond-localized fast radio bursts (FRBs) and UV-bright quasars (QSOs) nearby in projection has the potential to provide strong constraints o…

astro-ph.GA2026

HaloFlow II: Robust Galaxy Halo Mass Inference with Domain Adaptation

Nikhil Garuda, ChangHoon Hahn, Connor Bottrell +1

Precise halo mass () measurements are crucial for cosmology and galaxy formation. HaloFlow introduced a simulation-based inference (SBI) framework that uses state-of-the-art s…

astro-ph.GA2025★ 1 cited

Magnetic fields in galactic environments probed by Fast Radio Bursts

Ilya S. Khrykin, Nicolas Tejos, J. Xavier Prochaska +7

FRBs constitute a unique probe of various astrophysical and cosmological environments via their characteristic dispersion and rotation (RM) measures that encode information about t…

astro-ph.GA2024★ 4 cited

Introducing cosmosTNG: simulating galaxy formation with constrained realizations of the COSMOS field

Chris Byrohl, Dylan Nelson, Benjamin Horowitz +2

We introduce the new cosmological simulation project cosmosTNG, a first-of-its-kind suite of constrained galaxy formation simulations for the universe at Cosmic Noon (). c…

astro-ph.GA2024

The Effect of AGN Feedback on the Lyman-α Forest Signature of Galaxy Protoclusters at z~2.3

Chenze Dong, Khee-Gan Lee, Romeel Davé +2

The intergalactic medium (IGM) in the vicinity of galaxy protoclusters are interesting testbeds to study complex baryonic effects such as gravitational shocks and feedback. Here, w…

astro-ph.GA2023

I: Neural Inference of Halo Mass from Galaxy Photometry and Morphology

ChangHoon Hahn, Connor Bottrell, Khee-Gan Lee

We present , a new machine learning approach for inferring the mass of host dark matter halos, , from the photometry and morphology…